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New PC build achieves 176 t/s decode with Qwen-3.8 Flash-Next

A user has detailed their new PC build, which achieves impressive performance metrics for local large language model inference. The system, featuring dual R9700 GPUs and 64GB of DDR5 RAM, utilizes Deadcode's Radiance inference engine and a Q4 quantized version of the Qwen-3.8 Flash-Next model. Benchmarks using BetterBench indicate a decode speed of 176 tokens per second and a prefill speed of 6,450 tokens per second. AI

IMPACT Demonstrates optimized local LLM inference performance, potentially guiding hardware choices for users.

RANK_REASON User-generated content detailing hardware and software configuration for local LLM inference.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New PC build achieves 176 t/s decode with Qwen-3.8 Flash-Next

How we ranked this

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3 / 100
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Newsworthiness bucket
Tool
User-generated content detailing hardware and software configuration for local LLM inference.
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
infra, product
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High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Athabasco ·

    176 t/s decode and 6,450 t/s prefill with Q4 Qwen-3.8 Flash-Next on 2xR9700 + 64GB DDR5 using Deadcode's Radiance engine

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1x640u6/176_ts_decode_and_6450_ts_prefill_with_q4_qwen38/"> <img alt="176 t/s decode and 6,450 t/s prefill with Q4 Qwen-3.8 Flash-Next on 2xR9700 + 64GB DDR5 using Deadcode's Radiance engine" src="https://prev…